The results of an ongoing study, presented at the annual meeting of the Heart Failure Association of the European Society of Cardiology in Seville, Spain, identified a 5-fold increased risk of death in heart failure patients who were depressed.
OPERA-HF, an ongoing observational study enrolling patients hospitalized with heart failure, found that moderate to severe depression is associated with a 5-fold increased risk of all cause mortality in patients with heart failure. The results from OPERA-HF show that risk was independent of comorbidities and severity of heart failure, and patients who were not depressed had a significantly lower risk of death.
In a statement, professor John Cleland, chief investigator of OPERA-HF and professor of cardiology at Imperial College London and the University of Hull, UK, said: "Patients with heart failure are at high risk of recurrent hospital admissions and death. Approximately 25% of patients admitted to hospital with heart failure are readmitted for a variety of reasons within 1 month. Within one year, most patients will have had 1 or more readmissions and almost half will have died."
Original article on ScienceDaily: http://bit.ly/1LFccgf
Males With Hemophilia A Report Physical, Mental Burdens of Disease Regardless of Severity
April 25th 2024Self-reported data from adult and pediatric males with hemophilia A show that burden of the disease persists regardless of severity, highlighting a need for improved prophylactic treatment.
Read More
What We’re Reading: FDA Approves UTI Antibiotic; Ozempic, Wegovy Price Investigation; US Births Fall
April 25th 2024The FDA recently approved an antibiotic for the treatment of urinary tract infections (UTIs) in women; a Senate committee recently launched an investigation into the prices of Novo Nordisk’s diabetes and weight loss drugs; US births fell last year, resuming a national slide after a previous increase during the pandemic.
Read More
HOPE-CAT Can Identify Maternal Cardiovascular Risk 2 Months Earlier Than Doctors, Study Says
April 25th 2024In a retrospective study, the machine learning tool was able to screen for potential risks of cardiovascular disease nearly 60 days before the patient's medical record showed any signs of a related condition or before they were officially diagnosed or treated for it.
Read More